Abstract
Seismic attributes are considered valuable auxiliary data for geostatistical reservoir modelling. The seismic resolution is often poorly defined and depends on acquisition, depth and processing scheme. In this study an approach to determine the practical sampling volume of the seismic data is described, exploiting the geostatistical scaling laws.
The analysis sequence involves calculating the synthetic seismic response from a finescale model originating from a chalk reservoir; inversion of the generated data into impedances, and finally a quantitative comparison of this derived synthetic seismic attribute with the original fine-scale data.
The sampling volume represented by the inversion data is then estimated from the comparison of the volume-variance and the variogram structure. The derived sampling volume is expressing a generic resolution, since added noise and variance from real-life acquisition and processing is absent, and the result therefore only provides a bounding limit for the practical resolution.
The analysis sequence involves calculating the synthetic seismic response from a finescale model originating from a chalk reservoir; inversion of the generated data into impedances, and finally a quantitative comparison of this derived synthetic seismic attribute with the original fine-scale data.
The sampling volume represented by the inversion data is then estimated from the comparison of the volume-variance and the variogram structure. The derived sampling volume is expressing a generic resolution, since added noise and variance from real-life acquisition and processing is absent, and the result therefore only provides a bounding limit for the practical resolution.
| Original language | English |
|---|---|
| Title of host publication | Geostatistics Banff 2004 |
| Editors | Oy Leuangthong, Clayton V. Deutsch |
| Place of Publication | Dordrecht, The Netherlands. |
| Publisher | Springer |
| Pages | 731-736 |
| Number of pages | 6 |
| Volume | 1 |
| ISBN (Electronic) | 978-1-4020-3610-1 |
| ISBN (Print) | 978-1-4020-3515-9 |
| DOIs | |
| Publication status | Published - 2005 |
Publication series
| Series | Quantitative Geology and Geostatistics |
|---|---|
| Volume | 14 |
| ISSN | 0924-1973 |
Programme Area
- Programme Area 3: Energy Resources